Practical formation control of T-S fuzzy positive multi-agent systems under deception attacks

Key Points

• Enhanced formation control minimizes disruption from deception attacks in multi-agent systems, ensuring reliability.
• Stability analysis indicates resilience against adversarial threats, evidenced by improved algorithm performance.
• Theoretical framework utilizes fuzzy logic to manage agent interactions effectively under potential deception scenarios.
• Highlights the importance of collaborative algorithms for maintaining system coherence in adverse conditions.